Digital Analytics Specialist II

Western & Southern Financial Group•Cincinnati, OH

8d•Onsite

About The Position

Leads enterprise digital analytics across websites, portals, mobile applications and related digital channels. Defines measurement strategies, integrates digital and enterprise data, develops dashboards and advanced analyses, and translates findings into actionable insights and business cases. Designs, develops and maintains data pipelines, analytical datasets, dashboards, data models and tracking solutions. Partners with digital product, marketing, data, technology and business teams to establish KPIs, improve data quality, optimize customer journeys, measure downstream outcomes and support prioritization. Provides advanced guidance on analytics implementation, tagging, attribution, experimentation and reporting standards. Communicates complex challenges as actionable steps, works independently with minimal supervision, and provides technical guidance to analysts and business partners. The role works in an office setting, primarily at a desk or in meetings using a computer and other standard office equipment. Extended hours may be required during peak workloads or special projects, and occasional after-hours work and travel by car and/or plane may be required.

Requirements

Bachelor's degree in Data Analytics, Statistics, Business Administration, Marketing, Technology, Computer Science or a related field, or equivalent work experience.
Typically four to seven years of digital analytics, analytics engineering, business intelligence, data engineering, digital conversion, website or application optimization, or related data analysis experience.
Proven experience integrating disparate data sources and connecting digital behavior to downstream customer, operational and business outcomes.
Strong understanding of data modeling, data pipelines, cloud data platforms, data quality, governance, tagging, attribution and analytics implementation practices.
Demonstrated project leadership, requirements gathering, prioritization, business analysis, stakeholder management and interpersonal skills.
Advanced skills with Google Analytics 4, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python and Excel.
Proven ability to define KPIs and measurement plans, develop dashboards, identify insights and communicate recommendations to leadership and non-technical audiences.
Personal attributes include ethical, credible, professional, results-driven, analytical, detail-oriented, intellectually curious and adaptable, with comfort interacting with all levels of management.
Demonstrated ability to independently lead complex work, manage multiple priorities, maintain attention to detail and thrive in a collaborative team environment.
Proven verbal and written communication, presentation and data-storytelling skills, including the ability to simplify complex analytical and technical concepts.
Ability to remain stationary for long periods and perform substantial continuous computer work involving movement of wrists, hands and fingers.
Ability to verbally communicate and exchange accurate information regularly; read and interpret correspondence, procedures, reports and forms; prepare written correspondence and reports in prescribed formats; and apply logical thinking to define problems, collect data, establish facts and draw valid conclusions.
Occasional travel may be required by car and/or plane.

Nice To Haves

Experience designing and analyzing methodical A/B, multivariate, personalization and test-and-measure programs.
Experience with Sitecore Analytics or Content Management, Google Cloud or enterprise data platforms, and financial services or insurance data.
Knowledge of cloud data platforms, data integration and visualization tools, Sitecore Analytics or Content Management, and sprint delivery software.
Google Analytics, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python or Excel-related data analytics certifications with demonstrated knowledge.

Responsibilities

Lead continuous analysis and reporting across enterprise websites, portals, mobile applications and related digital channels, connecting traffic and behavior to operational and business outcomes.
Develop and maintain advanced dashboards, scorecards and recurring reports, translating findings into executive-ready insights, recommendations and business cases.
Partner with business and product leaders to define digital KPIs, measurement plans, targets, data definitions and value-realization measures.
Build and maintain analytics pipelines, curated datasets, transformations and data models.
Integrate and analyze digital, customer, policy, producer and servicing data from cloud platforms and enterprise datasets using relevant analytics tools.
Lead analytics requirements for data engineering and custom development; validate data accuracy, completeness, lineage, consistency and alignment with business goals.
Own and advance tag management, event tracking, attribution and campaign measurement strategies, coordinating implementation and quality assurance with technology teams.
Design, analyze and interpret A/B, multivariate, personalization and test-and-measure programs to improve engagement, conversion, customer experience and operational efficiency.
Identify trends, anomalies, funnel friction and opportunities; perform root-cause analysis and recommend prioritized actions based on business value.
Establish reusable analytics standards, documentation, dashboards and quality-control practices; educate partners, enable responsible data self-service, and mentor or provide technical guidance to less-experienced analysts and business partners.
Collaborate with digital product, marketing, search engine optimization, Customer Experience, IT, data, security, architecture, operations, Fraud/Risk and other Enterprise partners; use approved automation and emerging technologies responsibly to improve analysis, documentation and quality assurance.
Perform other duties as assigned and comply with all policies and standards.